Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24662
Title: A practical transmit antenna selection scheme with adaptive modulation for spatial multiplexing MIMO systems
Authors: Wei, YR
Wang, MZ
Keywords: MIMO systems
Adaptive modulation
Channel allocation
Error statistics
Multiplexing
Quadrature amplitude modulation
Transmitting antennas
Issue Date: 2006
Publisher: IEEE
Source: 2006 International Conference on Information & Communication Technologies : from Theory to Applications : ICTTA '06 : proceedings : 24-28 April 2006, Damascus, Syria, p. 2119-2124 How to cite?
Abstract: This paper presents a novel strategy of combining adaptive transmit antenna selection with an adaptive quadrature amplitude modulation (AQAM) scheme for spatial multiplexing (SM) multiple-input multiple-output (MIMO) systems with linear receivers in practical uncorrelated and correlated channel conditions. The proposed scheme aims to maximize the average spectral efficiency (ASE) for a given bit error rate (BER) constraint and also to lower the hardware complexity. Our simulations are carried out on a general MIMO channel model, under the assumption that the channel state information (CSI) is known at the receiver and the adaptive control signaling can be perfectly fed back to the transmitter. We deploy the low rank-revealing QR (LRRQR) algorithm in the transmit antenna subset selection, since LRRQR is computationally less expensive than a singular value decomposition (SVD) based algorithm while the two algorithms achieve similar error rate performances. We show that both the conventional AQAM scheme (i.e., without adaptive transmit antenna selection) and SM scheme perform poorly in a highly correlated channel environment. We demonstrate that our proposed scheme provides a well-behaved trade-off between the ASE and BER under various channel environments. The ASE (i.e., throughput) can be maximized with proper choice of the channel quality threshold and AQAM mode switching threshold levels for a target BER
URI: http://hdl.handle.net/10397/24662
ISBN: 0-7803-9521-2
DOI: 10.1109/ICTTA.2006.1684730
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